NeurAlign: Combining Word Alignments Using Neural Networks
نویسندگان
چکیده
This paper presents a novel approach to combining different word alignments. We view word alignment as a pattern classification problem, where alignment combination is treated as a classifier ensemble, and alignment links are adorned with linguistic features. A neural network model is used to learn word alignments from the individual alignment systems. We show that our alignment combination approach yields a significant 20-34% relative error reduction over the best-known alignment combination technique on EnglishSpanish and English-Chinese data.
منابع مشابه
Title of dissertation : COMBINING LINGUISTIC AND MACHINE LEARNING TECHNIQUES FOR WORD ALIGNMENT IMPROVEMENT
Title of dissertation: COMBINING LINGUISTIC AND MACHINE LEARNING TECHNIQUES FOR WORD ALIGNMENT IMPROVEMENT Necip Fazıl Ayan, Doctor of Philosophy, 2005 Dissertation directed by: Professor Bonnie J. Dorr Department of Computer Science Alignment of words, i.e., detection of corresponding units between two sentences that are translations of each other, has been shown to be crucial for the success ...
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